Gender: Female 
Age: 18-24
Nationality: United Kingdom
Ethnicity: Black or African American 
Marital status: Married 
First language: English 
Religion: Christian 
Education: Undergraduate degree
Mother's education: Graduate degree
Father's education: Undergraduate degree
Self-assessed socioeconomic status (1-10): 6
Home: Rent 
Employment: Employed part time
Occupation: Manager or business owner (those who plan, direct, coordinate and evaluate the overall activities of enterprises, governments and other organizations)
Mother's occupation: Skilled agricultural, forestry and fishery workers (those harvest, grow, breed, or produce a variety of animal husbandry products)
Father's occupation: Professionals or highly skilled workers (those who increase the existing stock of knowledge or teach about it in a systematic manner, e.g. engineer, doctor, teacher, lawyer)
Hobbies: Listen to hiphop and rap;Listen to jazz;Use social media;Exercise;Go to museums and galleries 
Devices used daily: Laptop;Smartphone 
NLP tools known: Grammar checker (i.e., correcting grammar mistakes);Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools used: Paraphrasing and Summarisation (i.e., automatically produce alternative descriptions of written text);Grammar checker (i.e., correcting grammar mistakes);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Dialog technology (e.g. chatbots that communicate with you such as chatGPT) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Sentiment analysis (e.g. automatically detect if user reviews are positive or negative)Machine translation (e.g. translate Chinese or Russian into English, and vice versa) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT;Character.AI;Google Gemini;Grok;Microsoft Bing AI;HuggingChat 
LLM use cases: Coding;Paraphrasing or finding synonyms;Digital content creation (e.g., creation of social media content);Analyze data;Generate art;Proofreading/Editing (e.g., grammar, spelling, structure improvements);Solving math or logical problems;Completing assignments;Learning (e.g., explaining complex concepts in simple terms);Answering questions about general knowledge;Collecting references 
Contexts of LLM use: Work;School/University;Learning;Creative or artistic;Entertainment 
Prompt 1: What is the expected value of 2 of 1000?
Prompt 2: what Government initiatives support manufacturing?
Prompt 3: What are the major export markets for UK manufactured goods?
Prompt 4: How should I cope with stress and shifty emotions?
Prompt 5: Is love real? 
Prompt 6: What movies are good for entertainment?
Prompt 7: what is 5 multiplied by -7
Prompt 8: What is the biggest challenge when it comes to manufacturing companies?
Prompt 9: I feel lonely. Can we chat?
Prompt 10: Do Aliens exist?
Comments: No